Promoting Teaching Excellence of Universities in Taiwan: Policy Analysis with a Special Reference to Educational Equality
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
As some comparative educators predict, educational policies will move toward similar paths when globalization becomes more powerful. The global higher education expansion in the past decades is one example. The quest of establishing world class universities in the world is another case. The Taiwan government experiences challenges from expansion of universities, the next step is to ensure the “quality” of higher education. In this context, “Program for Promoting Teaching Excellence of Universities, PPTEU” is one of the important policies in Taiwan. This research aims at exploring this policy and its possible effects by analyzing related literatures, policy document, and statistical data collected from the Ministry of Education in Taiwan. This research also highlights the relationship between the newly trend of establishing world-class universities, differentiation of universities, and teaching excellence in Taiwan. Statistical data of PPTEU collected by Ministry of Education in Taiwan was analyzed with a special reference to educational equality. Policy and research implications were discussed in the last section of this research.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it